At Freshworks, diversity powers innovation because great ideas can and do come from everywhere. We encourage people from all backgrounds&mdash;particularly historically underrepresented and marginalized&mdash;to join us.
We strive for a workplace culture where everyone can bring their authentic selves to work, feel comfortable speaking out, take risks, and feel they&rsquo;re an integral part of the Freshworks team. It&rsquo;s simple: Happy, fulfilled employees do better, more innovative work.
Our employee resource groups (ERGs) help employees meet, learn, share their unique perspectives, and connect with mentors and opportunities.
Our current ERGs include Women360 and Prideworks, our global LGBTQIA+ group, with more to come as we continue to look for ways to support each other in our goals.

Freshworks

Freshworks has partnered with one of the leading childcare providers in India, offering services for children aged five months to 6 years in select cities like Chennai, Bangalore, Hyderabad, etc.

Freshworks Inc. (with its subsidiaries, &ldquo;Freshworks&rdquo;) is committed to providing a work environment free of harassment, ensuring all individuals are treated with respect and dignity. The Policy Against Sexual and Other Workplace Harassment prohibits any form of harassment based on various factors, such as race, color, creed, gender, gender identity or expression, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by federal, state, or local laws

Freshworks provides 26 weeks (182 days) of maternity leave and 84 days of adoption leave.

Freshworks has partnered with Practo, one of India&rsquo;s largest digital healthcare platforms, to provide all employees access to online doctor&rsquo;s consultations, appointment booking, online medicine delivery, and health check-ups.

Online Doctor’s Consultation

As a Lead Engineer for the ML Engineering development team, you will act as the critical link between Data Science research and product-ready implementation. Your primary focus is to architect, design, and implement optimal solutions for a wide array of ML use cases. You will partner with Data Scientists to bring sophisticated algorithms to life, building and deploying robust APIs and pipelines that serve millions of requests with high efficiency and reliability.Key Responsibilities<ul><li>ML Algorithm Implementation: Collaborate closely with Data Scientists to translate theoretical models and algorithms into high-performance, production-grade code.</li><li>End-to-End Pipeline Architecture: Build and manage comprehensive ML pipelines, including data pre-processing, model generation, automated deployment, cross-validation, and active feedback loops.</li><li>High-Performance Service Delivery: Develop and deploy extensible ML API services optimized for low latency and high scalability.</li><li>Operational Intelligence: Devise and build monitoring capabilities for both engineering efficiency and ML model performance metrics to ensure long-term system health.</li><li>Strategic Innovation &amp; Collaboration: Architect solutions from scratch and liaise with cross-product architects and engineers to drive adoption and ensure technical alignment across the organization.</li><li>Prototyping &amp; POC Execution: Lead Proof of Concept (POC) initiatives on various tech stacks to identify and validate optimal solutions for complex business challenges.</li><li>Independent Execution: Own the full lifecycle of feature delivery, from requirement gathering with product teams to final deployment and monitoring</li></ul>

Professional Qualifications<ul><li>Experience:&#xa0;9+ years of relevant experience in software engineering and machine learning development.</li><li>Production Excellence: Proven track record in building and productionizing Machine Learning solutions at scale.</li><li>MLOps Mastery: Deep experience with MLOps practices, ensuring seamless model transitions from development to production.</li><li>Education: Degree in Computer Science, Artificial Intelligence, or a related quantitative field.</li></ul>Technical Skill Inventory<ul><li>Programming Core: Strong OOPS and programming expertise in Python and Java.</li><li>Framework Proficiency: Expertise with ML libraries and Deep Learning frameworks such as PyTorch, Keras, TensorFlow, and TFServ.</li><li>Foundational Engineering: Deep understanding of data structures, algorithms, and system design.</li><li>Problem Solving: Exceptional analytical skills with a focus on optimization and efficiency.</li><li>Cloud Infrastructure (Plus): Hands-on knowledge of AWS services for ML and data processing.</li></ul>

<div sr-tagline=""></div>At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business. Fresh vision. Real impact. Come build it with us.

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