Senior Lead DS ML Engineer (Consulting)
- Tavant Technologies
- 12 - 17 years
- Noida, Gurugram
- 6 months ago
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Job Description
We are looking for an experienced Senior Lead Data Scientist / ML Engineer with a strong blend of pre-sales expertise, team leadership , and technical proficiency across classical machine learning, deep learning, and generative AI . You will engage in high-level client discussions, drive technical sales strategies, and lead a team to design and implement cutting-edge ML solutions. This is a strategic role requiring both thought leadership and hands-on technical contributions.
Key Responsibilities - Pre-Sales & Client Engagement
- Collaborate with the sales and business development teams to identify client needs and formulate AI/ML solutions.
- Present technical concepts, project proposals, and proof-of-concepts (POCs) to prospects and clients.
- Translate complex client requirements into actionable project scopes, estimates, and technical proposals.
- Leadership & Team Management
- Provide direction, mentorship, and performance feedback to a team of data scientists and ML engineers.
- Establish best practices in solution design, code reviews, model validation, and production deployment.
- Drive the strategic roadmap for AI initiatives, ensuring alignment with organizational goals and market trends.
- Classical Machine Learning & Statistical Modeling
- Apply classical machine learning techniques (e.g., regression, clustering, decision trees, ensemble methods) to solve diverse business problems.
- Design and optimize data pipelines, feature engineering processes, and model selection strategies.
- Ensure robust model evaluation, tuning, and performance monitoring in production environments.
- Deep Learning & Generative AI
- Develop and maintain deep learning models using frameworks such as TensorFlow or PyTorch for tasks like computer vision, NLP, or recommendation systems.
- Explore and build solutions leveraging generative AI (GANs, VAEs, or transformer-based architectures) for innovative product features and services.
- Champion research and experimentation with state-of-the-art AI models, staying ahead of industry advances.
- Project Delivery & MLOps
- Lead end-to-end ML project lifecycles, from data exploration and model development to deployment and post-launch maintenance.
- Implement MLOps best practices (CI/CD, containerization, model versioning) on cloud or on-premise infrastructures.
- Collaborate with DevOps and engineering teams to integrate ML solutions seamlessly into existing systems.
- Stakeholder Management & Communication
- Serve as a key technical advisor to executive leadership, product managers, and client teams.
- Communicate complex AI/ML findings in clear, actionable terms to both technical and non-technical audiences.
- Advocate data-driven decision-making and foster a culture of innovation within the organization.
- Education & Experience
- Master s or PhD in Computer Science, Data Science, Engineering, or a related field is preferred.
- 12+ years of relevant industry experience in data science or ML engineering, with 5+ years in a leadership or management capacity.
- Technical Expertise
- Pre-Sales : Demonstrated experience in client-facing roles, solutioning, and proposal development.
- Classical ML : Skilled in traditional algorithms (regression, classification, clustering, etc.) and statistical methods.
- Deep Learning : Hands-on expertise with frameworks (e.g., TensorFlow, PyTorch) for CNNs, RNNs, transformer architectures, etc.
- Generative AI : Practical exposure to GANs, VAEs, or large language models, with a track record of building generative models.
- MLOps : Familiarity with CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS, Azure, GCP).
- Leadership & Communication
- Proven ability to mentor and lead data science/ML engineering teams to meet project goals.
- Exceptional communication skills for presenting to clients, stakeholders, and executive leadership.
- Experience in agile methodologies and project management, balancing multiple projects simultaneously.
- Experience in big data ecosystems (Spark, Hadoop) for large-scale data processing.
- Background in NLP , computer vision , or recommendation systems .
- Knowledge of DevOps tools (Jenkins, GitLab CI, Terraform) for infrastructure automation.
- Track record of published research or contributions to open-source AI projects.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DevOpsRole: Site Reliability EngineerEmployement Type: Full timeContact Details:
Company: Tavant TechnologiesLocation(s): Noida, Gurugram+ View Contact
Keyskills: Computer science Automation Team management Project management Consulting Agile Presales Open source SQL Python
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Tavant Technologies
Tavant Technologies Tavant is a digital products and solutions company that provides impactful results to its customers across a wide range of industries such as Consumer Lending, Aftermarket, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific. Our solutions, powere...
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