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Manager - DS-AI & Machine Learning Publicis Sapient is looking for an experienced Manager, Machine Learning Engineering to lead our talented team of AI and data science experts. In this influential role, you will be responsible for developing and implementing solutions that address complex business challenges across a wide range of industries. Your expertise will empower clients to revolutionize their businesses by harnessing the potential of advanced technology. As a Manager, Machine Learning Engineering, you will collaborate with cross-functional teams to strategize, develop, and deliver machine learning models tailored to meet specific business objectives. You will be responsible for overseeing the entire lifecycle of these models, from data preprocessing and algorithm selection to performance evaluation and seamless integration into production systems. Your Impact:As a Manager Data Science specialising in Generative AI, you will:<ul><li>Lead AI-Driven Innovations: Drive the development of state-of-the-art AI and machine learning solutions that transform business strategies and deliver exceptional customer experiences.</li><li>Strategic Collaboration:&nbsp;Work closely with cross-functional teams, including product managers, data engineers, and business stakeholders, to define and execute data-driven solutions aligned with organizational goals.</li><li>Foster a High-Performance Team: Build, mentor, and lead a team of talented data scientists, cultivating a culture of innovation, collaboration, and continuous learning.</li><li>Deliver Business Impact: Translate complex business problems into AI/ML solutions by leveraging advanced techniques such as generative AI, deep learning, and NLP, ensuring measurable outcomes.</li><li>Optimize AI Pipelines: Oversee the development and deployment of scalable, efficient, and robust machine learning pipelines that address latency, responsiveness, and real-time data processing challenges.</li><li>Customize AI Models: Direct the customization and fine-tuning of AI models, including large language models (LLMs) and other generative AI technologies, to meet domain-specific requirements.</li><li>Promote Data-Driven Decision-Making: Advocate for data-centric approaches across teams, ensuring data quality, integrity, and readiness to maximize model performance and business impact.</li><li>Develop Intelligent AI Agents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions.</li><li>Advance Generative AI Applications: Innovate with cutting-edge generative AI models such as LLM, VLM, GANs, and VAEs to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation.</li><li>Scale AI with Cloud Technology: Deploy and scale LLM-based solutions on platforms like GCP, AWS&nbsp;and Azure to address real-world business problems with precision and efficiency.</li><li>Stay at the Cutting Edge: Keep up-to-date with emerging trends and innovations in AI and data science, identifying opportunities to incorporate the latest advancements into projects.</li></ul> Qualification: 8-14 Years with 2 Yrs Gen AI&nbsp;Your Skills &amp; Experience:<ul><li>Fine tuning experience of Large Language models (LLMs, VLLMs, or Vision model)</li><li>Distributed training or inference experience with frameworks like Ray, vllm, openllm, bentoML etc.</li><li>Experience with frameworks like like LangChain, Llamaindex for building maintainable, scalable Generative AI applications.</li><li>Deployment experience or optimized hosting experience of Large Language models (LLMs, VLLMs, or Vision model)</li><li>Experience working with any Vector database like Milvus, FAISS, ChromaDB etc</li><li>Experience developing agents with frameworks like LangGraph, CrewAI, Autogen etc</li><li>Experience with prompt engineering</li><li>Keeping up with latest market trends</li><li>Experience working with open source large language models from HuggingFace</li><li>Experience working with atleast one public cloud provider such as Azure, AWS or GCP</li><li>Experience working with container technology like Docker, ECS etc</li><li>Experience with DevOps practices and CI/CD pipelines for data solutions</li><li>Experience in deploying solutions to production with Kubernetes or OpenShift</li><li>Experience with managing ML workflows with MLFlow or KubeFlow.</li></ul>

Publicis Sapient Consulting Pvt Ltd

Business Intelligence Engineer

Sr. Business Intelligence Engineer We are looking for a Senior Business Intelligence Engineer with over 7 years of experience in providing data-driven strategic business solutions in&nbsp;The candidate must have a strong background in data analysis, team leadership, and project management, with a proven track record of solving descriptive, inquisitive, and prescriptive analytics problems.If you are looking for an opportunity to work with a great team, apply now. Share your resume now.

CriticalRiver

Lead Data Engineer(SQL,SSIS) We’re looking for talented professionals to join our growing team. Role - Lead Data Engineer (SQL,SSIS)Job ID - EXP/001/0066Experience - 5 YrsKey Skills - SQL, SSIS, ADF, Azure Data Lake/ Lake House If you have strong expertise in these areas and are passionate about building scalable, high-quality solutions, we’d love to hear from you!Share your ideal profile/resume with us at: <a rel="noopener noreferrer" href="\&quot;mailto:amith.jolly@experionglobal.com\&quot;" target="_blank">amith.jolly@experionglobal.com</a>.

Experion Technologies India Pvt Ltd

Data Engineer

Lead Bigdata Engineer (AWS/Azure) We’re Hiring at <a rel="noopener noreferrer" href="\&quot;https://www.linkedin.com/company/impetus/\&quot;" target="_blank">Impetus</a>! We have multiple exciting opening and are looking for passionate, skilled professionals to join our growing team. If you’re ready to take the next big step in your career and work on cutting-edge technologies with an amazing team — this is your chance! Job ID - 140806Requirement - Lead Bigdata Engineer (AWS/Azure)Experience Range - 6 to 10 YearsSkillset - Python, Spark/Pyspark, SQL, AWS or Azure cloud experience

Impetus Technologies India Pvt Ltd

Snowflake Architect <ul><li>Expertise: Snowflake Data Warehouse, SQL &amp; Query Optimization, ETL/ELT, Cloud Platforms (AWS/Azure/GCP), Data Modeling &amp; Performance Tuning</li><li>Experience: 10+ Years</li></ul> Share your resume now.

Bizmetric

Architect

AI Engineer Skills<ul><li>Experience with prompt engineering, LLMs, multi-agent frameworks, OpenAI, and Databricks</li></ul> <ul><li>Experience: 6 to 8 years</li><li>Notice Period: Immediate joiners preferred</li></ul> Share your updated resume now.

Enable Data

Automation Process Engineer

Sr. Snowflake/dbt Data Engineer We’re Hiring: Sr. Snowflake/dbt Data Engineer Role Highlights:<ul><li>Build &amp; deploy ETL pipelines on Snowflake (Azure/AWS/GCP) using dbt, Databricks, Cloud Composer &amp; Cloud Run.</li><li>Handle structured/unstructured data ingestion, validation, error handling &amp; logging.</li><li>Optimize pipelines &amp; queries, manage CI/CD, and monitor for performance &amp; quality.</li></ul> Requirements:<ul><li>5+ yrs in Data Engineering with 4+ yrs on Snowflake/dbt.</li><li>Hands-on with Cloud Composer (Airflow), BigQuery, and complex SQL tuning.</li><li>Strong Python ETL skills, parallelization a plus.</li><li>Excellent communication &amp; problem-solving skills.</li></ul> Share your profiles to: <a rel="noopener noreferrer" href="\&quot;mailto:karthickraj.s@quesscorp.com\&quot;" target="_blank">karthickraj.s@quesscorp.com</a>

Quess Corp Limited

AI/ML Engineer Technical Skills: • Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow) • Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques • Experience with big data processing using Spark for large-scale data analytics • Version control and experiment tracking using Git and MLflow • Software Engineering &amp; Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing. • DevOps &amp; Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations. • LLM Infrastructure &amp; Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management. • MLOps &amp; Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining. • Cloud &amp; Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems. • LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security. • General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP. • Experience in creating LLD for the provided architecture. • Experience working in microservices based architecture. Experience : 6+ Years Share your updated resume now.

SP Software Pvt Ltd

Big Data Developer Experience: 5-8 Years We are looking for a talented Big Data Developer to join our team. The ideal candidate will be responsible for hands-on development and technical delivery of innovative components used in data driven solutions within a cross-functional, agile development team. The candidate should have a sound working knowledge of Spark, Scala, NoSQL, Big Data SQL, Hadoop, SQL, and be self-motivated to drive through rapidly changing requirements typically found in innovative business units.Key Responsibilities• Work within a cross-functional, agile development team to deliver innovative data driven solutions.• Develop and implement Big Data components and solutions using Spark, Scala, and other Big Data technologies.• Ensure technical delivery of high-quality, efficient, and scalable solutions.• Adapt to rapidly changing requirements and drive through solutions independently. Requirements• 4+ Years of experience with BigQuery SQL.• Very strong in SQL.• Experience with GCP Cloud.• Experience with Scala and SPARK.• Candidates should be able to work independently.

Eximietas Design

Data Scientist

Full Stack EngineerProject Role : Full Stack Engineer Project Role Description : Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset. Must have skills : Data Science Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary: 
As a Full Stack Engineer, you will be responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Utilize development skills to deliver innovative solutions that enhance client services, leveraging new technologies to solve challenging business problems with a cloud-first and agile mindset.
 
Roles &amp; Responsibilities: 
- Expected to be a SME with deep knowledge and experience.
- Should have Influencing and Advisory skills.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Expected to provide solutions to problems that apply across multiple teams.
- Lead and mentor junior team members.
- Collaborate with cross-functional teams to drive project success.
 
Professional &amp; Technical Skills: 
- Must To Have Skills: Proficiency in Data Science.
- Strong understanding of statistical analysis and machine learning algorithms.
- Experience with data visualization tools such as Tableau or Power BI.
- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity.
 
Additional Information: 
- The candidate should have a minimum of 15 years of experience in Data Science.
- This position is based at our Pune office.
- A 15 years full time education is required.

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