Customer Success Manager

Job Description – Machine Learning Expert

Role: Machine Learning Expert

Experience: 6+ Years

Location: Bangalore

Education: B.Tech Degree (Computer Science / Information Technology / Data Science / related fields)

Work Mode: Hybrid – 3 Days Office + 3 Days Work from Home

Interview Mode: Candidate must be willing to attend Face-to-Face (F2F) L2 round at Bangalore location

About the Role

We are seeking a highly skilled Machine Learning Expert with a strong background in building, training, and deploying AI/ML models. The ideal candidate will bring hands-on expertise in designing intelligent systems that leverage advanced algorithms, deep learning, and data-driven insights to solve complex business challenges.

Key Responsibilities

• Develop and implement machine learning and deep learning models for real-world business use cases.
• Perform data cleaning, preprocessing, feature engineering, and model optimization.
• Research, design, and apply state-of-the-art ML techniques across domains such as NLP, Computer Vision, or Predictive Analytics.
• Collaborate with data engineers and software developers to ensure seamless end-to-end ML solution deployment.
• Deploy ML models to production environments and monitor performance for scalability and accuracy.
• Stay updated with the latest advancements in Artificial Intelligence and Machine Learning frameworks.
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Required Skills & Qualifications

• B.Tech degree in Computer Science, Information Technology, Data Science, or related discipline.
• 6+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Deep Learning.
• Strong expertise in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Solid foundation in mathematics, statistics, algorithms, and probability.
• Experience in working with NLP, Computer Vision, Recommendation Systems, or Predictive Modeling.
• Knowledge of cloud platforms (AWS / GCP / Azure) for model deployment.
• Familiarity with MLOps tools and practices for lifecycle management.
• Excellent problem-solving skills and the ability to work in a collaborative environment.
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Preferred Skills (Good to Have)

• Experience with Big Data frameworks (Hadoop, Spark).
• Exposure to Generative AI, LLMs (Large Language Models), and advanced AI research.
• Contributions to open-source projects, publications, or patents in AI/ML.
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Work Mode & Interview Process

• Hybrid Model: 3 days in office (Bangalore) + 3 days remote.
• Interview: Candidate must be available for Face-to-Face L2 interview at Bangalore location.

JD

·       Minimum 4-18 Years of Core Java Programming with spring boot Framework,Design patterns Concurrent Programming, Multi-threading (Good knowledge in Executor service, Forkjoin pool and other threading concepts)

·       Good knowledge of the JVM with an understanding of performance and memory optimization.

·       Extensive and expert programming experience in JAVA programming language (strong OO skills preferred).

·       Excellent knowledge on collections like, Array List, Vector, LinkedList, Hashmap, HashTable, HashSet is mandate.

·       Exercised exemplary development practices including design specification, coding standards, unit testing, and code-reviews.

·       Expert level understanding of Object Oriented Concepts and Data Structures

Location - Only Bangalore

Notice period - Immediate or Serving

Market Research and Analysis:

Identify potential markets, niches, and segments for the travel company's services.

Conduct market research to understand customer preferences, trends, and competition.

Analyze data to identify growth opportunities and gaps in the market.

Lead Generation:

Generate leads through various channels such as cold calling, networking events, online platforms, and referrals.

Qualify leads based on their potential as clients and align them with the company's target customer profile.

Client Relationship Management:

Build and maintain strong relationships with existing clients to ensure customer satisfaction and repeat business.

Address client inquiries, concerns, and feedback promptly and professionally.

Partnerships and Alliances:

Identify potential partners, collaborators, and suppliers within the travel industry.

Establish and nurture partnerships to enhance the company's service offerings and value proposition.

Sales and Revenue Generation:

Develop and execute sales strategies to achieve revenue targets and company growth objectives.

Present the company's services to potential clients, highlighting unique selling points and benefits.

Proposal Development:

Prepare and present proposals to potential clients that outline the company's services, pricing, and value proposition.

Customize proposals to address the specific needs and requirements of each potential client.

Negotiation and Closing Deals:

Negotiate terms and conditions with clients to reach mutually beneficial agreements.

Close deals and secure new business partnerships.

Networking and Industry Events:

Attend industry conferences, trade shows, and networking events to expand the company's presence and connect with potential clients and partners.

Reporting and Analysis:

Track and report on sales activities, lead generation, and revenue performance.

Analyze sales data to identify trends, areas for improvement, and growth opportunities.

Collaboration with Marketing:

Collaborate with the marketing team to develop promotional materials, campaigns, and content that align with business development goals.

CRM and Database Management:

Up-to-date records of leads, clients, and interactions

Continuous Learning:

Stay informed about industry trends, emerging technologies, and the competitive landscape to adapt strategies accordingly.

Feedback Loop:

Provide valuable feedback to the company's management based on market insights, customer feedback, and competitive analysis.