Job Description

Are you a Senior Lead Data Scientist  looking to join one of the top companies in the Manufacturing industry ?

Are you looking to further your career and grow?

Do you have experience with data science or ML engineering?

If you answered yes to those three questions, then today!

Acara Solutions seeks highly qualified candidates to work onsite  with our client in Santa Clara, CA.  Interested?

Here's what you'd do:

• Client is 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.
• 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.
• 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 techniques (regression, clustering, decision trees, and 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.
• Develop and maintain deep learning models using frameworks such as Tensor Flow 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.
• 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.
• 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.

Here's what you'll get:

Pay: $ 160K - 200K / year

Hours: 40 hrs/week

Length: Direct Placement 

Sounds like a good fit?

TODAY

About Acara Solutions

Acara is a premier recruiting and workforce solutions provider-we help companies compete for talent. With a legacy of experience in various industries worldwide, we partner with clients, listen to their needs, and customize visionary talent solutions that drive desired business outcomes. We leverage decades of experience to deliver contingent staffing, direct placement, executive search, and workforce services worldwide.

Job Requirements

Required Skills:

• Bachelor's Degree.
• Minimum 12 years of experience with data science or ML engineering.
• Minimum 5 years of experience in leadership or management capacity.
• Minimum 5 years of experience in client-facing roles, solutions, and proposal development.
• Minimum 5 years of experience in traditional algorithms (regression, classification, clustering) and statistical methods.
• Minimum 5 years of experience with frameworks (Tensor Flow, PyTorch) for CNNs, RNNs, and transformer architectures.
• Minimum 5 years of experience with GANs, VAEs, or large language models, with a track record of building generative models.
• Minimum 5 years of experience with CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS, Azure, GCP).
• Minimum 5 years of experience in agile methodologies and project management, balancing multiple projects simultaneously.

Preferred Skills:

• Master's Degree in Computer Science or Data Science or Engineering.
• PhD Degree in Computer Science or Data Science or Engineering.
• 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 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.

Additional Information:

• Upon offer of employment, the individual will be subject to a background check and a drug screen.
• In compliance with federal law, all persons hired will be needed to verify identity and eligibility to work in the United States and to complete the necessary employment eligibility verification form upon hire.

Aleron companies (Acara Solutions, Aleron Shared Resources, Broadleaf Results, Lume Strategies, TalentRise, Viaduct) are Equal Employment Opportunity and Affirmative Action Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity, sexual orientation, national origin, genetic information, sex, age, disability, veteran status, or any other legally protected basis. The Aleron companies welcome and encourage applications from diverse candidates, including people with disabilities. Accommodations are available upon request for applicants taking part in all aspects of the selection process.

Applicants for this position must be legally authorized to work in the United States. This position does not meet the employment requirements for individuals with F-1 OPT STEM work authorization status.

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