Data Science
Machine Learning (ML)Job Description
Responsibilities:
- Collaborate with stakeholders to understand business objectives and requirements for AI/ML projects.
- Conduct research and stay up-to-date with the latest AI/ML algorithms, techniques, and frameworks.
- Design and develop machine learning models, algorithms, and data pipelines.
- Collect, preprocess, and clean large datasets to ensure data quality and reliability.
- Train, evaluate, and optimize machine learning models using appropriate evaluation metrics.
- Implement and deploy AI/ML models into production environments.
- Monitor model performance and propose enhancements or updates as needed.
- Collaborate with software engineers to integrate AI/ML capabilities into existing software systems.
- Perform data analysis and visualization to derive actionable insights.
- Stay informed about emerging trends and advancements in the field of AI/ML and apply them to improve existing solutions.
Strong experience in Apache pyspark is must
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience of 3-5 years as an AI/ML Engineer or a similar role.
- Strong knowledge of machine learning algorithms, deep learning frameworks, and data science concepts.
- Proficiency in programming languages such as Python, Java, or C++.
- Experience with popular AI/ML libraries and frameworks, such as TensorFlow, Keras, PyTorch, or scikit-learn.
- Familiarity with cloud platforms, such as AWS, Azure, or GCP, and their AI/ML services.
- Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
- Experience in deploying and scaling machine learning models in production environments.
- Strong problem-solving skills and ability to work on multiple projects simultaneously.
- Excellent communication and teamwork skills.
Preferred Skills:
- Experience with natural language processing (NLP) techniques and tools.
- Familiarity with big data technologies, such as Hadoop, Spark, or Hive.
- Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
- Understanding of DevOps practices for AI/ML model deployment
-Apache ,Pyspark
Shubham Vishwakarma
Full Stack Developer - Averlon
About Kanerika Software
About
Kanerika has been delivering results since we opened in 2015. Our goal is to provide both a superior customer experience and tremendous value for our customers. With over 75 years of collective experience in Software Product Development and is passionate about exceeding expectations of our clients. Our passion is developing path-breaking software products. We love challenges. We are a small team that always ensures the job is done right. It is all about : Partnership, Experience and Creativity.
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Gushwork.ai is one of the fastest-growing AI startups globally, combining cutting-edge AI with human expertise to help businesses scale marketing operations efficiently. In just one year, we’ve partnered with 200+ businesses, driving success through AI-assisted SEO and marketing automation.
We’ve raised $10M+ from top global investors, including Lightspeed, SIG, B Capital, and Beenext, and are building the world’s largest AI+human marketing engine. Our mission is to enable businesses to do more with less through AI-driven growth solutions.
What You’ll Do
- Prospect and Qualify Leads: Identify and reach out to potential SMB clients using various channels (cold calls, emails, and social media).
- Build Pipeline: Generate high-quality leads to fill the sales pipeline and hand off qualified opportunities to the sales team.
- Personalize Pitches: Tailor messaging to each client’s needs, ensuring a high level of relevance and engagement.
- Collaborate with Sales Teams: Work closely with the Account Executives to refine strategies and achieve revenue targets.
- Track and Report: Maintain accurate records in the CRM, providing detailed insights into lead quality, pipeline health, and progress toward goals.
What We’re Looking For
- US Calling Experience: 2–4 years of experience in outbound sales or cold calling, specifically targeting US-based clients.
- B2B SaaS Background: Proven experience in selling SaaS products or services to SMB clients.
- Exceptional Communication Skills: Strong verbal and written communication with the ability to articulate ideas and build rapport quickly.
- SMB Experience: Experience in working with SMB clients is highly preferred.
- Adaptability: Comfortable working in a fast-paced startup environment with shifting priorities.
- Tech-Savvy: Familiarity with CRMs, LinkedIn Sales Navigator, and other sales tools.
- Day shift with overlapping night shift hours.
Why Join Us?
- Be part of a rapidly growing startup with an entrepreneurial culture.
- Opportunity to work directly with the US market and gain international exposure.
- Competitive salary and performance-based incentives.
- A dynamic team environment that values collaboration, innovation, and growth.
We are seeking candidates who can join immediately or within 15-20 days.
Our Coffee is roasted in New Delhi, the centre of a new specialty coffee revolution. Experience something beyond jut a cup of caffeine.
Our coffee story is much wider, much higher and much deeper than meets the eye. We began in-depth coffee roasting during the worldwide lockdown caused by covid-19 pandemic and lass than 5 month late we founded Saltoro Coffee Roasters with an aim to serve the people great tasting coffee cultivated by Indian farm and roasted to perfection to get the quality products.
Overview: Saltoro Coffee Roasters is a boutique coffee roasting company that is passionate about sourcing, roasting, and delivering the finest quality coffee beans. With a commitment to excellence and a deep appreciation for the art of coffee, we aim to provide coffee enthusiasts with an exceptional and flavorful experience in every cup.
Responsibilities:
Lead Generation: Identify potential clients or customers through various means, such as cold calling, networking, market research, and online lead generation tools.
Market Research: Analyze market trends, customer needs, and competitor activities to identify opportunities for business growth.
Client Acquisition: Develop and maintain relationships with potential clients, understanding their needs, and presenting solutions that align with the company's products or services.
Sales Strategies: Develop and implement sales strategies and tactics to achieve and exceed sales targets.
Product Knowledge: Acquire in-depth knowledge of the company's products or services and effectively communicate their features and benefits to clients.
Presentation and Pitching: Prepare and deliver persuasive sales presentations and pitches to potential clients.
Negotiation: Negotiate contracts, pricing, and terms with clients, ensuring a mutually beneficial agreement.
Sales Reporting: Maintain accurate records of sales activities, client interactions, and progress toward sales targets. Prepare regular reports for management.
Client Relationship Management: Build and maintain strong relationships with existing clients, ensuring their satisfaction and identifying opportunities for upselling or cross-selling.
Collaboration: Collaborate with internal teams, including marketing, product development, and customer service, to ensure a seamless customer experience.
Feedback Collection: Act as a liaison between clients and the company, collecting feedback and insights to improve products, services, and customer satisfaction.
Key Skills:
Sales Skills: Strong sales and negotiation skills are essential for closing deals and growing revenue.
Communication: Excellent communication skills, both verbal and written, are necessary for conveying product information and building relationships with clients.
Market Research: The ability to conduct market research to identify potential clients and stay informed about industry developments.
Product Knowledge: In-depth knowledge of the company's products or services is crucial for effectively presenting and selling them.
Networking: Building and nurturing relationships with potential clients, industry professionals, and partners.
Adaptability: The ability to adapt to changing market conditions and client needs.
Time Management: Effective time management skills to prioritize tasks and meet sales targets.
Customer Focus: A customer-centric approach, understanding and addressing customer needs and concerns.
Problem-Solving: The ability to identify challenges and propose solutions to meet customer requirements.
Team Collaboration: Collaboration with internal teams to ensure smooth operations and customer satisfaction.
Technological Proficiency: Familiarity with CRM software and sales-related tools for managing client relationships and tracking sales activities.
Data Analysis: Basic data analysis skills to interpret sales data and make informed decisions.
Ethical Conduct: Ethical behavior and integrity in all sales and customer interactions.
Resilience: The ability to handle rejection and persist in pursuing leads and opportunities.
Goal-Oriented: A strong focus on achieving and exceeding sales targets and business objectives.
Roles and Responsibilities
· Supports customers by providing helpful information,
· Overseeing the customer service process.
· Resolving customer complaints brought to your attention.
· Answering questions, and responding to complaints.
· Maintaining a pleasant work environment for your team
· Conducting quality assurance surveys with customers and providing
feedback to the staff.
· Possessing excellent product knowledge to enhance customer suppor
· Handling Customer concerns and complaints in a timely manner
· Informing Customers of upcoming promotions, offers, updates and
much more
· Courier Tracking, contacting courier people, give a feedback to
customer
· Semi Voice process
Python
Django
Flask- Work on a chatbot framework/architecture using an open-source tool or library
- Implement Natural Language Processing (NLP) for chatbots
- Integration of chatbots with Management Dashboards and CRMs
- Resolve complex technical design issues by analyzing the logs, debugging code, and identifying technical issues/challenges/bugs in the process
- Deploy applications using CI/CD tools
- Designing and building highly scalable AI and ML solutions
- Ability to understand business requirements and translate them into technical requirements
- Open-minded, flexible, and willing to adapt to changing situations
- Ability to work independently as well as on a team and learn from colleagues
- High adaptability in a dynamic start-up environment.
- Experience with bot multi-lingual utilization (preferred)
- Experience with bot human escalation
- Ability to optimize applications for maximum speed and scalability
- Come up with new approaches and ideas to improve the current performance of Chatbots across multiple domains and build a highly personalized user experience.
QUALIFICATIONS : B. Tech/ B.E. /M. Tech or a related technical discipline from reputed universities
SKILLS REQUIRED :
- Minimum 3+ years- of experience in Chatbot Development using the Rasa open-source framework.
- Hands-on experience building and deploying chatbots.
- Experience in Conversational AI platforms for enterprises using ML and Deep Learning.
- Experience with both text to speech and vice versa transformation incorporation.
- Should have a good understanding of various Chatbot frameworks/platforms/libraries.
- Build and evolve/train the NLP platform from natural language text data being gathered from users on a daily basis.
- Code using primarily Python.
- Experience with bots for platforms like Facebook Messenger, Slack, Twitter, WhatsApp, etc.
- Knowledge of digital assistants such as Amazon Alexa, Google Assistant, etc.
- Experience in applying different NLP techniques to problems such as text. classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning
- Techniques - NLP Skills/Tools: NLP, HMM, MEMM, P/LSA, CRF, LDA, Semantic Hashing, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, Core NLP, NLU, NLG, etc.
- Should be familiar with these terms: Tokenization, N-Grams, Stemmers, lemmatization, Part of speech tagging, entity resolution, ontology, lexicology, phonetics, intents, entities, and context.
- Knowledge of SQL and NoSQL Databases such as MySQL, MongoDB, Cassandra, Redis, PostgreSQL
- Experience with working on public cloud services such as Digital Ocean, AWS, Azure, or GCP.
- Knowledge of Linux shell commands.
- Integration with Chat/Social software like Facebook Messenger, Twitter, SMS.
- Integration with Enterprise systems like Microsoft Dynamics CRM, Salesforce, Zendesk, Zoho, etc.
MUST HAVE :
- Strong foundation in the python programming language.
- Experience with various chatbot frameworks especially Rasa and Dialogflow.
- Strong understanding of other AI tools and applications like TensorFlow, Spacy, and Google Cloud ML is a BIG plus.
- Experience with RESTful services.
- Good understanding of HTTPS and Enterprise security.
Ruby on Rails (ROR)
Ruby
C++- Improving customer experience, not only for borrowers, but also other partners on the platform.
- Ensure seamless integration with data/ service providers and lending partners.
- When not doing any of above, write tests to prevent any regressions.
- Full-stack development experience.
- Experience with Ruby on Rails.
- Self-starter: Someone who can develop independently.
- Passionate about problem solving, ability to see the big picture.
- Realizes the value of 80-20
- Regular participation on Codechef, Topcoder etc. ( If yes, please cite your rank and pass on a link to your profile! )
- Prior experience at a bank / fin-tech / non-banking financial player in a technical role.
Key Responsibilities
- Drive the execution of all product lifecycle processes for Operational Automations and efficiencies, including product research, market research, competitive analysis, planning, positioning, roadmap development, requirements development, and product launch
- Improve Tracking Experience and manage 3PL Logistic Integrations
- Assess current competitor offerings, seeking opportunities for differentiation
- Analyze consumer needs, current market trends, and potential partnerships from an ROI and build vs. buy perspective
- Create product strategy documents that describe business cases, high-level use cases, technical requirements, revenue, and ROI
- Translate product strategy into detailed requirements for prototype construction and final product development by engineering teams
- Collaborate closely with engineering, production, marketing, and sales teams on the development, QA, and release of products and balance of resources to ensure success for the entire organization
- Implement, and maintain production timelines across multiple departments
- Appraise new product ideas and strategize appropriate to-market plans
- Drive RTO Reduction rates
Key requirements:
- Engineering or an MBA graduate from a reputed university
- 4+ years of product management experience, preferably with consumer and/or b2b startups that have attained scale
- Experience identifying business opportunities, building a product strategy, and influencing deliver against a multi-year roadmap
- Understands core technologies utilised in their product domain and is fluent in pros and cons of technical alternatives
- Good understanding of acquisition and retention funnels
- Demonstrated ability to achieve goals in a fast paced and an unstructured environment. Thrives in ambiguity and rapidly changing environment
- Hands-on experience of both qualitative and quantitative research methods such as AB testing, data analytics, and user research
- Robust understanding of complex and scalable technical architecture for web and mobile applications
- Problem solver with strong analytical skills and comfort with data
- Excellent verbal and written communication skills
MongoDB
Redis
Elastic SearchPythonPrimary Responsibilities
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon